The Durkheim Project, has been launched to help prevent suicide among veterans. The predictive analytics company Patterns and Predictions uses its machine learning data fabric built on technologies from Attivio and Cloudera. Patterns and Predictions is providing technology that will help military mental health experts fight an alarming incidence of suicide among veterans. Patterns and Predictions’ founder Chris Poulin has been working with Dartmouth researchers to address the problem since 2010.
In 2011, Patterns and Predictions engaged big data analytics experts Attivio and Cloudera, and secured a contract with the Defense Advanced Research Projects Agency (DARPA). Staff from Patterns and Predictions, Dartmouth and the U.S. Veterans Administration conducted an investigation to validate the machine learning data fabric. Initial findings indicated the data model’s predictive accuracy was statistically significant (65 percent or more) in predicting suicidality risk among a veteran control group. Patterns and Predictions is leading the second phase of the project, with the hope of eventually providing a real-time triage of interventional actions upon detection of a critical event.
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